Dynabook Inc. PORTEGE X40L-M
Geekbench AI Score
7870
Single Precision Score
11452
Half Precision Score
5342
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 18 2025 07:08 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140T GPU (8GB) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dynabook Inc. PORTEGE X40L-M |
| Motherboard | Dynabook Inc. OK0123/0001 |
| Power Plan | dynabook standard |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 255H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4871
905.8 IPS |
|
|
Image Classification (HP)
|
100% |
5426
1.01 KIPS |
|
|
Image Classification (Q)
|
99% |
3524
657.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
6022
97.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
10106
163.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4045
65.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
20244
23.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
41265
48.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
17372
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
5678
450.4 IPS |
|
|
Object Detection (HP)
|
100% |
6185
490.6 IPS |
|
|
Object Detection (Q)
|
84% |
4116
332.3 IPS |
|
|
Face Detection (SP)
|
100% |
8161
97.0 IPS |
|
|
Face Detection (HP)
|
100% |
14500
172.3 IPS |
|
|
Face Detection (Q)
|
97% |
5648
67.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17495
134.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
30426
234.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
13262
106.2 IPS |
|
|
Style Transfer (SP)
|
100% |
53002
68.1 IPS |
|
|
Style Transfer (HP)
|
100% |
85687
110.2 IPS |
|
|
Style Transfer (Q)
|
98% |
41098
53.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9728
359.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16470
608.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5834
216.0 IPS |
|
|
Text Classification (SP)
|
100% |
1318
1.76 KIPS |
|
|
Text Classification (HP)
|
100% |
1560
2.08 KIPS |
|
|
Text Classification (Q)
|
97% |
821
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
2787
48.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2856
49.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1260
23.6 IPS |
